Machine Learning Engineer

About Company:-

Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.

The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world.

They provide a variety of services, including consulting, technology, professional, and outsourcing services.

Job Title: Machine Learning

Location: Hyderabad

Work Mode: Hybrid

Experience: 6+ yrs.

Job Type : Contract to hire.

Notice Period:- Immediate joiners.

●At least 3 years of experience in designing & building AI applications for customers and deploying them into production

● At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers.

● Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.

● Design, develop, and operationalize existing ML models by ne-tuning, personalizing it.

● Evaluate machine learning models and perform necessary tuning.

● Develop prompts that instruct LLM to generate relevant and accurate responses.

● Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.

● Conduct a thorough analysis to evaluate LLM responses, and iteratively modify prompts to improve LLM performance.

● Hands-on customer experience with RAG solution or ne-tuning of LLM model.

● Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.

● Experience in working with the end-to-end steps involving, but not limited to data cleaning, exploratory data analysis, dealing with outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.

● Proven experience building and deploying machine learning models in production environments for real-life applications

● Good understanding of natural language processing, computer vision or other deep learning techniques.

● Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).

● Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.

● Excellent communication, collaboration, and problem-solving skills. Good to Have:

● Google Cloud Certied Professional Machine Learning or TensorFlow Certied Developer certications or equivalent.

● Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.

● Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot Studio for CCAI Agent workows

● Experience with AutoML and vision techniques.

● Master’s degree in statistics, machine learning or related elds.