Overview
Enterprise64 is a U.S.-based technology company that creates digital solutions for startups to Fortune 500 companies in the United States, Europe, and the United Arab Emirates. We are growing rapidly across all our global offices and have career opportunities for tech professionals who are looking to work in a fast-growing company, work in a fun environment, looking to be challenged, grow, and fast-track their careers.
Job Description
Enterprise64 is looking for an experienced AI/ML Engineer to design, develop, and deploy scalable machine learning solutions. The role involves working with large datasets, building models using Python and frameworks like TensorFlow/PyTorch, and integrating AI into production systems. Experience with MLOps, cloud platforms (AWS/GCP/Azure), and modern AI techniques such as NLP, computer vision, or recommendation systems is highly desirable. This position offers the opportunity to work on cutting-edge AI projects while mentoring junior team members and driving best practices.
Key Responsibilities
- Design, develop, and implement machine learning models, from data preprocessing to production deployment.
- Collaborate with data engineers, software developers, and product managers to integrate AI/ML solutions into existing applications and workflows.
- Conduct data exploration, feature engineering, and model optimization to ensure scalable, high-performing solutions.
- Evaluate, fine-tune, and monitor ML models for accuracy, fairness, and performance.
- Work with large datasets (structured and unstructured), leveraging cloud platforms (AWS, GCP, Azure) and distributed systems when needed.
- Research and apply cutting-edge techniques in deep learning, NLP, computer vision, or recommendation systems (depending on company focus).
- Develop APIs, pipelines, and automation to ensure smooth deployment and scaling of AI models.
- Mentor junior team members and contribute to establishing best practices in AI/ML engineering.
Qualifications & Skills Required
- Degree in computer science, Data Science, AI/ML, or a related field.
- 3–7 years of hands-on experience (mid-level 3–5, senior 5–7+) in AI/ML development and deployment.
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
- Experience in data preprocessing, model development, hyperparameter tuning, and evaluation.
- Solid understanding of ML Ops, CI/CD pipelines, and model monitoring.
- Strong grasp of statistics, probability, linear algebra, and optimization techniques.
- Proficiency in using SQL/NoSQL databases and working with large-scale datasets.
Preferred / Nice-to-Have
- Experience with NLP (Transformers, LLMs), computer vision (OpenCV, YOLO, CNNs), or recommendation systems.
- Knowledge of cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
- Familiarity with containerization (Docker, Kubernetes) for scalable deployments.
- Prior experience working with data engineering pipelines (Airflow, Spark, Kafka).
- Exposure to generative AI (LLMs, diffusion models, RAG, vector databases) is a strong plus.
Benefits
- Talent upskilling program.
- Provident fund.
- Health insurance.
- Eligible for US H-1 Visa.
- Project-based bonus.
- Leave encashment.
- EOBI
- Maternity leaves/ Paternal WFH
- Religious holidays
- Work from home facility.
- Referral bonus.
- Paid time off.
- Transportation service.
- Loan and advance salary.