Description
AI / ML Engineer
Location: Bengaluru, India
Department: Techinical
Experience: 4-5 Years
Skills: SQL, cloud platform, Deep Learning, NLP, AI/ML, Tensorflow, Python, Kubernetes, Docker
Job Title: AI/ML Engineer
Experience: 4-5 Years
Location: Whitefield, Bangalore
Employment Type: Full-Time (Onsite)
About Hithonix Solutions Pvt Ltd
Hithonix Solutions Pvt Ltd is a forward-thinking technology company dedicated to delivering intelligent and innovative software solutions that enable business growth. Built on the values of quality, integrity, and excellence, we foster a collaborative work environment that encourages creativity, continuous learning, and professional development. Our teams work across industries such as e-commerce, fintech, health tech, and enterprise software, leveraging advanced technologies to solve complex business challenges.
Job Overview
We are looking for an experienced AI / ML Engineer with 4–5 years of hands-on expertise in building, deploying, and optimizing machine learning models. In this role, you will design end-to-end AI solutions, work with large datasets, and deploy scalable ML models into production environments. You will collaborate closely with cross-functional teams to deliver AI-driven features that create real-world business impact.
Key Roles & Responsibilities
- Design, develop, and implement machine learning and AI models to solve business problems
- Perform data preprocessing, feature engineering, and exploratory data analysis on structured and unstructured datasets
- Build and maintain end-to-end ML pipelines, from data ingestion to model training and deployment
- Evaluate, optimize, and fine-tune models for accuracy, performance, and scalability
- Collaborate with data scientists, data engineers, and software engineers to integrate ML solutions into applications
- Deploy and serve ML models using frameworks such as TensorFlow Serving, TorchServe, FastAPI, Flask, or similar
- Utilize cloud platforms (AWS, Azure, or GCP) for model training, deployment, and monitoring
- Implement MLOps best practices including versioning, automated testing, CI/CD, and model monitoring.
- Research and adopt emerging AI/ML techniques, including Generative AI and LLM-based solutions.
- Proactively identify and scope new AI opportunities by translating core business challenges into measurable technical objectives and deliverable roadmaps.
Required Skills & Experience
- 4–5 years of professional experience in Machine Learning, Deep Learning, or AI solution development
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras
- Solid understanding of data structures, algorithms, probability, and statistics
- Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques
- Practical knowledge of MLOps tools and workflows (MLflow, Kubeflow, Airflow, Docker, Kubernetes)
- Experience working with cloud-based ML services (AWS SageMaker, Azure ML, or Google Vertex AI)
- Strong skills in SQL, Pandas, NumPy, and data manipulation techniques
- Experience deploying ML models via REST APIs and integrating them into production systems
- Hands-on exposure to NLP and/or Computer Vision use cases
- Familiarity with Large Language Models (LLMs) and Generative AI frameworks
- Knowledge of data versioning, Git, and CI/CD pipelines for ML projects
- Practical experience with distributed computing/big data technologies (e.g., Spark, Databricks) for handling and processing large-scale production datasets.
- Cloud or AI/ML certifications (AWS, Azure, GCP) are an added advantage
- Exceptional verbal and written communication skills with the ability to articulate complex technical concepts, trade-offs, and project status clearly to non-technical stakeholders (Product Managers, Business Leaders, etc.).
Educational Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Why Join Hithonix Solutions?
- Work on impactful AI and ML projects with real-world business applications
- Collaborate with a highly skilled team of engineers, data scientists, and cloud experts
- Opportunity to work on cutting-edge technologies including Generative AI and Large Language Models
- Competitive compensation, continuous learning opportunities, and a growth-oriented work culture
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