Senior Machine Learning Engineer

Data Science, Python, NLP Preprocessing

Hyderabad, Bangalore, Pune, Chennai, Gurgaon

We are seeking a Senior Machine Learning Engineer with experience in various data science techniques, tools, and cloud providers.

The ideal candidate will be responsible for designing, developing, and implementing cutting-edge data science models and machine learning algorithms to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying machine learning/deep learning/AI techniques, and deliver innovative solutions that push the boundaries of AI technology.

This role requires a strong background in machine learning, deep learning, and computer vision, along with a passion for exploring and experimenting with state-of-the-art models.

Responsibilities

Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data pre-processing, training, optimization, and evaluation of models
Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training
Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability
Design and conduct experiments to evaluate the performance, robustness, and generalization of tune machine learning/deep learning models. Use appropriate metrics and statistical analysis to measure and interpret results
Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders

Requirements

Bachelor’s or master’s degree in computer science, Data Science, Statistics, or related field
Minimum of 5 to 8 years of experience is required
Solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP
Proficiency in Python
Experience Deep learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc.
Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc.
General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
Familiarity with cloud services (AWS, Google Cloud, Azure)
Excellent written and verbal communication skills

Nice to have

Experience with Docker and Kubernetes

Technologies

NLP
GPT
Python

Benefits

Insurance coverage
Paid leaves – including maternity, bereavement, paternity, and special COVID-19 leaves.
Financial assistance for medical crisis
Retiral Benefits – VPF and NPS
Customized Mindfulness and Wellness programs
EPAM Hobby Clubs

Community

Flexible and hybrid work opportunities
Soft loans to set up workspace at home
Relocation and mobility programs

Professional development

Access to soft skills training in general communication, presenting and public speaking, diversity, equity and inclusion (DEI), cultural Intelligence, self-productivity, well-being and more.
Unlimited access to the LinkedIn Learning Library, including 22,000+ courses
Access to internal learning platforms, EPAM University and a wide range of professional communities and competency centers
Community networking and idea creation platforms
Mentorship programs
Self-driven career progression tool
Upskilling, reskilling and certification courses <wbr>