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Exponential Machine

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4.9

based on 3 Reviews

20 Exponential Machine Jobs

Python Developer

Exponential AI

4.9

based on 3 Reviews

3-5 years

Hyderabad / Secunderabad

1 vacancy

Python Developer

Exponential Machine

posted 14hr ago

Job Role Insights

Key skills for the job

Python Healthcare Machine Learning Computer Vision MongoDB Natural Language Processing

+ 3 more

Job Description

Careers

Python Developer

3-5 Years

Hyderabad

Contract

Job Description

We are seeking a skilled Python Developer with expertise in Machine Learning to join our team. The ideal candidate will play a key role in developing, deploying, and maintaining machine learning models and applications. This position requires a strong foundation in Python programming, experience with ML frameworks, and a passion for building intelligent systems to solve real-world problems.

Key Responsibilities:

Machine Learning Development:

1. Design, develop, and implement machine learning models using Python-based frameworks.
2. Collaborate with data scientists to preprocess data and build predictive algorithms.

2. Software Development:

Write clean, efficient, and reusable Python code for ML and non ML applications.
Develop APIs to serve machine learning models for production use.

3. Data Processing:

Work with structured and unstructured data to build and optimize data pipelines.
Perform data preprocessing tasks, including cleaning, feature engineering, and transformation.

4. Model Deployment and Optimization:

Integrate ML models with the applications.
Optimize models for performance, scalability, and accuracy.

5. Collaboration and Communication:

Work closely with cross-functional teams, including data engineers, data scientists, and product managers.
Document code, workflows, and processes for team-wide knowledge sharing.

Required Skills:

Programming:
1. Proficient in Python, with experience in libraries like NumPy, Pandas, and scikit-learn.
2. Familiarity with ML frameworks such as TensorFlow, PyTorch, or Keras.

2. Data Handling:

Experience with S L and NoS L databases (e.g., PostgreS L, MongoDB).
Knowledge of big data tools such as Hadoop or Spark is a plus.

3. Machine Learning:

Understanding of supervised, unsupervised, and reinforcement learning techniques.
Familiarity with model evaluation metrics and tuning (e.g., hyperparameter optimization).

4. Deployment:

Experience with containerization tools like Docker and orchestration systems like Kubernetes.
Familiarity with cloud platforms (AWS, GCP, Azure).

5. Soft Skills:

Excellent problem-solving and critical-thinking abilities.
Strong communication and teamwork skills.

ualifications:

Bachelor s or master s degree in computer science, Data Science, or a related field.
Certifications in Python, machine learning, or cloud technologies are highly desirable.

Preferred ualifications:

Knowledge of natural language processing (NLP) or computer vision.
Experience with MLOps practices, including model monitoring, versioning, and lifecycle management.
Exposure to deep learning frameworks and advanced ML techniques.

Why Join Us

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.