Experience
2 - 4 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Machine Learning Engineer
Job Type
ONSITE
Job Description
- Careers
Machine Learning Engineer Contract
2-4 Years
Hyderabad
Contract
Job Description
We are looking for a skilled and innovative Machine Learning Engineer with 4-5 years of hands-on experience to join our team. You will design, build, and deploy machine learning models to solve real-world problems in collaboration with data scientists, software engineers, and business stakeholders. This is a key role in leveraging AI/ML technologies to develop scalable solutions in a dynamic and fast- paced environment.
Key Responsibilities: - Design, develop, and optimize machine learning models to solve complex problems.
- Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to ensure data quality and insights.
- Deploy and monitor machine learning models in production environments using cloud platforms or other tools.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Implement machine learning pipelines, workflows, and tools for automated training and testing.
- Research and apply state-of-the-art algorithms to enhance model performance.
- Ensure scalability and reliability of ML systems through efficient coding practices and architectural design.
- Stay up-to-date with advancements in machine learning and AI technologies and assess their potential impact on the business.
Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or related fields.
Experience: 4-5 years of hands-on experience in designing, building, and deploying machine learning models.
Technical Skills: - Strong programming skills in Python with expertise in ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Experience working with large datasets and using tools such as Pandas, NumPy, and Matplotlib.
- Proficiency with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Experience with S L/NoS L databases and data pipelines.
- Experience with containerization and orchestration (e.g., Docker, Kubernetes).
- Hands-on experience in productionizing machine learning models.
- Prior experience in building recommendation systems, predictive analytics, or anomaly detection models.
- Contributions to open-source ML/AI projects.
- Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning.
- Strong mathematical and statistical background.
- Excellent problem-solving and critical thinking abilities.
- Ability to work independently and collaboratively within a team.
- Strong communication skills to explain technical details to non-technical stakeholders.
- Competitive Compensation : We offer a highly competitive salary that reflects your experience and expertise, along with performance-based incentives.
- Innovative Culture : Be part of a fast-paced and collaborative environment where your work directly contributes to the success of our product and customer experience.
- Shaping the Future of Healthcare with AI : Exciting opportunity to work with cutting-edge AI-powered healthcare technology that is transforming industry and improving lives.
- Professional Growth : Opportunities for ongoing learning, development, and career progression.
- Work-Life Balance : Flexible working hours and a culture that values both your personal and professional life.