Senior Software Engineer (Full Stack) (AI) (Onsite, Hebbal) (Open)

Job Tittle : Senior Software Engineer (Full Stack) (AI)

As a Senior Software Engineer (Full Stack) (AI), you will play a key role in designing, developing, and deploying generative AI, machine learning models, and AI systems. You will work closely with data scientists, software engineers, and business stakeholders to transform data-driven insights into real-world applications.

Responsibilities
•Design, develop, and optimize machine learning models for production environments.
•Build scalable AI systems, including data pipelines, model training, and deployment frameworks.
•Work with deep learning frameworks (TensorFlow, PyTorch) and traditional ML libraries (Scikit-learn, XGBoost).
•Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
•Optimize models for performance, scalability, and efficiency in cloud or on-prem environments.
•Stay up to date with the latest advancements in AI/ML and apply best practices to ongoing projects.
•Conduct experiments, analyze performance, and iterate on models to enhance accuracy and efficiency.
•Mentor junior engineers and contribute to the AI/ML technical strategy.

Requirements
Education & Experience:
•Bachelor’s, Master’s, or PhD in Computer Science, AI, Data Science, or a related field.
•5+ years of strong experience with Java, Python, JavaScript, Typescript.
•Experience in AI/ML development, with a strong track record of building and deploying models.

Technical Skills:
•Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
•Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow).
•Strong background in data preprocessing, feature engineering, and model optimization.
•Familiarity with deep learning architectures (CNNs, RNNs, Transformers) and NLP techniques.
•Experience with big data technologies (Spark, Hadoop) is a plus.
•Knowledge of DevOps, CI/CD for AI models, and containerization (Docker, Kubernetes) is a plus.

Soft Skills:
•Strong problem-solving and analytical skills.
•Ability to work in a fast-paced, collaborative environment.
•Excellent communication skills to convey complex AI concepts to stakeholders.

Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate.

Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.