AI / ML Engineer

About Hithonix Solutions Pvt Ltd :

Hithonix Solutions Pvt Ltd is a forward-looking technology company committed to delivering innovative software solutions that drive business success for our clients. Founded on the principles of quality, integrity, and excellence, we operate in a collaborative environment where creativity, learning, and growth are encouraged. Our team works on diverse projects spanning multiple industries, including e-commerce, fintech, health tech, and enterprise software. At Hithonix, we believe in investing in our people, fostering a culture of continuous improvement, and staying ahead of the curve by embracing the latest tools, methodologies, and technologies.

Job Summary We are seeking a talented AI / ML Engineer to design, develop, and deploy machine learning models and AI solutions that solve real-world business challenges. The ideal candidate will have hands-on experience in data preprocessing, model training, optimization, and deployment within cloud or on-prem environments

Key Roles and Responsibilities Design and implement machine learning models and AI algorithms to address complex business problems.

Preprocess, clean, and analyze large datasets to extract meaningful insights.

Develop and maintain end-to-end ML pipelines — from data ingestion to model deployment.

Evaluate and fine-tune models for accuracy, performance, and scalability.

Collaborate with data scientists, data engineers, and software developers to integrate ML solutions into applications and products.

Deploy models using frameworks such as TensorFlow Serving, TorchServe, FastAPI, or Flask .

Leverage cloud platforms (AWS, Azure, GCP) for ML model training and serving.

Research and experiment with emerging AI / ML technologies and frameworks.

Implement MLOps practices for continuous model integration, testing, and monitoring.

Required Skills :

2–6 years of hands-on experience in machine learning , deep learning , or AI solution development .

Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras .

Strong knowledge of data structures, algorithms, and statistics .

Experience with data preprocessing, feature engineering , and model evaluation techniques .

Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).

Experience with cloud ML services (AWS Sagemaker, Azure ML, or Google Vertex AI).

Proficiency in SQL and data handling tools like Pandas, NumPy .

Understanding of API integration and model deployment in production environments.

Experience with Natural Language Processing (NLP) or Computer Vision (CV) projects.

Familiarity with LLMs (Large Language Models) or Generative AI frameworks .

Knowledge of data versioning tools (DVC, Git LFS) and CI / CD for ML .

Exposure to big data technologies (Spark, Databricks, Hadoop).

Cloud certifications in AI / ML (AWS, Azure, or GCP).

Qualification :

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.

Why Join Us Work on innovative AI and machine learning projects with real business impact.

Collaborate with a talented team of engineers, data scientists, and cloud architects.

Opportunity to explore cutting-edge technologies like Generative AI and LLMs.

Competitive compensation and a growth-oriented work culture.

Apply Here :