Experience: 3+ Years
Location: Ahmedabad (WFO)
Bachelor's or Master's 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.
Strong 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 & QualificationStrong programming skills in Python (preferred), or Java/Scala
Experience with ML frameworks:
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
Familiarity with cloud platforms: AWS, Google Cloud Platform, Microsoft Azure Understanding of MLOps tools (Docker, Kubernetes, CI/CD pipelines)
Preferred Qualifications
- 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
12 Paid Leaves
12 Official Holidays
Festival Celebrations
Birthday Celebrations
Friendly work Culture
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- At least 2 years of professional experience developing AI/ML solutions
- Strong programming skills in Python, Java, or Scala
- Experience building machine learning and deep learning models
- Experience with TensorFlow, PyTorch, and scikit-learn
- Strong understanding of machine learning algorithms, including regression, classification, clustering, NLP, and deep learning
- Knowledge of statistics and probability
- Experience with Pandas, NumPy, and SQL
- Familiarity with AWS, Google Cloud Platform, or Microsoft Azure
- Understanding of MLOps tools, Docker, Kubernetes, and CI/CD pipelines
- Experience with LLMs, custom-data training, and third-party LLM API integrations
- Experience with NLP, computer vision, or generative AI
- Knowledge of Spark or Hadoop
- Experience with APIs and microservices architecture
- Familiarity with model monitoring and deployment frameworks
What We Do
eSparkBiz is a software engineering and product development company that helps CXOs, founders, and product leaders turn ideas into production-ready digital products. Its services span AI agents, generative AI, RAG, LLMs, automation, custom software, web and mobile applications, APIs, SaaS, cloud-native engineering, and product modernization. The company emphasizes scalable architecture, security, engineering excellence, and long-term product growth for digital-first enterprises.
