- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

- Minimum of two years of professional experience in developing AI/ML solutions, with a strong track record of successful project delivery.

- Proficiency in programming languages such as Python / C++ / R / Scala, with experience in building machine learning and deep learning models libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, scipy, nltk, transformers, langchain, etc.

- Solid foundation of deep learning, computer vision, natural language processing, and generative AI concepts.

- Solid understanding of machine learning concepts and techniques, including supervised, unsupervised, and reinforcement learning algorithms.

- Experience with LLMs, training them on custom data, as well as third-party LLM API (like OpenAI API) integrations.

Requirements

- Key Responsibilities Design, build, and deploy machine learning models (supervised, unsupervised, deep learning) Develop and optimize data pipelines for model training and inference Implement and maintain production-ready ML systems (MLOps) Work with large datasets: data cleaning, feature engineering,



transformation Evaluate model performance and continuously improve accuracy and efficiency Collaborate with cross-functional teams to integrate ML solutions into products Stay updated with the latest advancements in AI/ML and apply them when relevant

Required Skills Qualification

Experience with ML frameworks

Familiarity with cloud platforms

Preferred Qualifications

- Strong programming skills in Python (preferred), or Java/Scala

- TensorFlow PyTorch scikit-learn Solid understanding of algorithms: regression, classification, clustering, NLP, deep learning Knowledge of statistics and probability Experience with data handling tools: Pandas, NumPy, SQL

- AWS, Google Cloud Platform, Microsoft Azure Understanding of MLOps tools (Docker, Kubernetes, CI/CD pipelines)

- Experience with NLP, Computer Vision, or Generative AI Knowledge of big data tools (Spark, Hadoop)

- Experience with APIs and microservices architecture Familiarity with model monitoring and deployment frameworks

Benefits

- 5 Days working

- Flexible Timing

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI / ML Engineer (Gujarat)
🏢 ESparkBiz Technologies
📍 Gujarat