AI/ML Engineer (Q- 2, 2026 )
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 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 & 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 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
Benefits
5 Days working
Flexible Timing
12 Paid Leaves
12 Official Holidays
Festival Celebrations
Birthday Celebrations
Friendly work Culture