Lead Machine Learning Engineer

Data Science, Python, NLP Preprocessing

Hyderabad, Bangalore, Pune, Chennai, Gurgaon

We are seeking a Lead 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

Minimum 8 to 13 years of relevant professional experience
Bachelor’s or Master’s degree in computer science, Data Science, Statistics, or related field
Proficiency in Python
Solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP
Experience Deep learning framework like Tensorflow, Pytorch, Keras, Jax etc.
General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel etc.
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
B2+ English level proficiency

nice to have

Knowledge of Docker and Kubernetes

For you

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

For your comfortable work

Hybrid Work Model
Soft loans to set up workspace at home
Stable workload
Relocation opportunities with ‘EPAM without Borders’ program

For your growth

Certification trainings for technical and soft skills
Access to unlimited LinkedIn Learning platform
Access to internal learning programs set up by world class trainers
Community networking and idea creation platforms
Mentorship programs
Self-driven career progression tool

Lead Machine Learning Engineer

Benefits