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
Benefits
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>