The Role
Design, build, deploy, and optimize supervised, unsupervised, deep learning, NLP, computer vision, and generative AI models. Develop data pipelines, perform data cleaning and feature engineering, implement production-ready MLOps systems, evaluate model performance, and integrate ML solutions into products. Collaborate with cross-functional teams and apply current AI/ML advances. Work with LLM training, third-party APIs, cloud platforms, large datasets, and model deployment and monitoring frameworks.
Summary Generated by Built In
Position: AI/ML Engineer
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 ResponsibilitiesDesign, 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 & Qualifications
Strong 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 QualificationsExperience 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
BenefitsBenefits
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 3 years of professional experience, including a minimum of 2 years developing AI/ML solutions
- Professional experience delivering successful AI/ML projects
- 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, deep learning, computer vision, NLP, generative AI, statistics, and probability
- Experience with supervised, unsupervised, and reinforcement learning algorithms
- Experience with LLMs, custom-data training, and third-party LLM API integrations
- Experience with data cleaning, feature engineering, transformation, and large datasets
- Experience with Pandas, NumPy, and SQL
- Familiarity with AWS, Google Cloud Platform, or Microsoft Azure
- Understanding of MLOps tools including Docker, Kubernetes, and CI/CD pipelines
- Experience with NLP, computer vision, or generative AI
- Knowledge of big data tools such as Spark or Hadoop
- Experience with APIs and microservices architecture
- Familiarity with model monitoring and deployment frameworks
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The Company
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.
