MM International, LLC

Skills Required: Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs. Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs. Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs is needed to qualify for this role.. Strong programming skills in Python; experience with Machine Learning libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Py Torch, scikit-learn) and LLMs.. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP).

software engineer

Job Title: Software Engineer (AI/ML Engineer) Location: Jersey City or Dallas or Tampa, FL (Hybrid) Duration: 8 Months Contract Experience: 8 Years Education level: Bachelor’s degree Job function: Information Technology Skills Required: Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs Note: ** Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs is needed to qualify for this role. Responsibilities <ul><li> Collaborate with business stakeholders to understand business requirements and translate them into technical specifications for a Machine Learning solution.</li><li> Perform data analysis, feature engineering, and model selection.</li><li> Apply various Machine Learning algorithms and Generative AI techniques to solve business problems</li><li> Develop and implement efficient ML Ops pipelines and infrastructure for training and serving ML and Large Language models</li><li> Monitor and evaluate the performance of models, identify and address potential issues, and implement improvements.</li><li> Document design decisions, technical specifications, establish and adhere to code quality best practices.</li><li> Stay up-to-date on the latest advancements in AI and actively participate in knowledge sharing within the team</li><li> Work closely with external SMEs and vendors to partner on execution, and get knowledge-transfer on exit to ensure key subject matter expertise is retained and preserved within Client</li><li> Execution of projects at a rapid pace with the ability to multi-task and pivot as needed </li></ul>Qualifications <ul><li> Bachelor's or master's degree in computer science, Statistics, Data Science, or a related field</li><li> 7+ years of experience in Machine Learning and Data Science.</li><li> Strong programming skills in Python; experience with Machine Learning libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Py Torch, scikit-learn) and LLMs.</li><li> Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP).</li><li> Excellent communication and collaboration skills.</li><li> Ability to work independently and as part of a team.</li><li> Strong problem-solving skills and analytical thinking</li><li> Passion for learning and staying up-to-date with the latest advancements in Machine Learning </li></ul>Must Have <ul><li> Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs</li><li> Bachelor's or master's degree in computer science, Statistics, Data Science, or a related field</li><li> Strong programming skills in Python; experience with Machine Learning libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Py Torch, scikit-learn) and LLMs.</li><li> Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP).</li></ul>

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