Software Engineering Professional

Why this job matters

We are searching for a proficient AI/ML engineer who can help us to extract value from our data. The resource will be responsible for E2E processes including data collection, cleaning & pre-processing, training of the models and deployment in all production and non-production environments.

What you’ll be doing

•    Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
•    Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
•    Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
•    Verifying data quality, and/or ensuring it via data cleaning.
•    Supervising the data acquisition process if more data is needed.
•    Defining validation strategies
•    Defining the pre-processing or feature engineering to be done on given data.
•    Defining data augmentation pipelines.
•    Training models and tuning their hyperparameters.
•    analysing the errors of the model and designing strategies to overcome them.
•    Perform statistical analysis and fine-tuning using test results.
•    Train and retrain systems when necessary.
•    Strong knowledge on model deployment pipeline – MLOPS and knowledge of AWS/GCP deployment.

Skills Required

•    Proven experience (4 or more years) as a Machine Learning Engineer/ Artificial Intelligence Engineer or similar role.
•    Solving business problems using Machine Learning algorithms, Deep Learning/Neural Network algorithms, Sequential model development, and Time series data modelling.
•    Experience with Computer Vision techniques, Convolutional Neural Networks (CNN), Generative AI, and Large Language Models (LLMs)
•    Experience with deploying models using MLOps pipelines.
•    Proficiency in handling both structured and unstructured data, including SQL, BigQuery, and DataProc.
•    Hands-on experience with API development using frameworks like Flask, Django, and FastAPI.
•    Automating business and functional operations using AIOps.
•    Experience with cloud platforms such as GCP and AWS, and tools like Qlik (Added advantage)
•    Understanding of data structures, data modelling and software architecture.
•    Expertise in visualizing and manipulating big datasets.
•     Deep knowledge of math, probability, statistics and algorithms.

•    Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Knowledge in R or Java is a plus.

•    Proficiency in TensorFlow or Keras and OpenCV is a plus. 
•    Excellent communication skills.
•    Team player.
•    Outstanding analytical and problem-solving skill.
•    Familiarity with Linux environment.
•    Low to medium familiarity with JIRA, GIT, Nexus, Jenkins etc is a plus.
•    Minimum educational qualification: BE/B.Tech or similar degree in relevant field.