Strong understanding of AI/Client concepts and techniques.
Proficiency in Python and experience with AI libraries like TensorFlow and PyTorch.
Experience with the AI model lifecycle, including data preprocessing and deployment.
Good grasp of model design and deployment architectures.
Strong analytical skills to analyze complex datasets.
Familiarity with cloud platforms (AWS, GCP, Azure) and model deployment in the cloud.
Experience in integrating AI features into business applications.
Responsibilities
Design and develop AI applications to address complex business issues.
Collaborate with data scientists to translate business needs into AI solutions.
Implement and optimize AI models using Python and establish pipelines.
Conduct data preprocessing and feature engineering for high-quality training data.
Evaluate various AIML models and tools for specific use cases.
Train and fine-tune AI models with techniques like deep learning and NLP.
Deploy AIML models in production to ensure reliability and performance.
Integrate AI solutions into existing or new applications.
Benefits
Opportunity for technical growth in AI/Client technologies.
Collaborative work environment emphasizing cross-functionality.
Flexibility to work as both a team player and an individual contributor.
Access to the latest advancements in AI and cloud-based technologies.
Full Job Description
Sr. Software Engineer MAHIN-JOB-32905 Position :- Mlops Engineer Location :- NYC/Alpharetta GA (Day 1 Onsite) Must have:
Strong understanding of AI/Client concepts and techniques.
Proficiency in programming languages such as Python, with hands on experience in AI/Client libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with AI/Client model lifecycle activities, like data preprocessing, feature engineering, deployment, data visualization, etc.
Good understanding on model deployment, design, and architecture.
Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights.
Familiarity with at least one cloud platforms / hyper-scalers (e.g., GCP, Azure, AWS, NVIDIA) and experience in deploying AI/Client models in cloud environments.
Experience of integrating AI/Client features into business applications and solutions.
Experience in implementing and managing Client OpsKnowledge of software development practices, version control systems (e.g., Git), and agile methodologies.
Excellent communication and collaboration skills to work effectively in cross-functional teams.
Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simultaneously.
Experience of 6 to 8 years of relevant experience.
Responsibilities:
Design and develop AI/Client applications to solve complex business problems.
Collaborate with data scientists and subject matter experts to understand business requirements and translate them into AI/Client solutions.
Implement and optimize AI/Client models and create pipelines using programming languages, preferably Python.
Conduct data preprocessing, feature engineering, and data exploration to ensure the availability of high-quality data for training and evaluation.
Evaluate and benchmark different AIML models, frameworks, and tools to identify the most suitable solutions for specific use cases.
Train, validate, and fine-tune AI/Client models using various techniques such as deep learning, reinforcement learning, and natural language processing.
Deploy AIML models in production environments, ensuring scalability, performance, and reliability.
Collaborate to integrate AI/Client solutions into existing applications or develop new applications.
Stay up to date with the latest advancements in AI/Client technologies and industry trends.
Provide technical guidance and support to junior team members and promote knowledge sharing within the team.
Flexibility to work as part of a team or an individual contributor.
