Machine Learning Engineer

Requirement Name / Title : AI ML Engineer

Experience : 4-8 years

Work Location : Chennai/ Bangalore

Mandatory Skills:

AI/ML, DL, NLP or Computer Vision, Python for Data Science, Tensorflow, Pytorch, Django, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn

Preferred Skills:

Gen AI, LLM, GPT-3, AWS or GCP or Azure Cloud, MLOps, SQL, Hadoop, Spark, or Apache Flink, Banking exposure

Required Skill Sets:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc.

• Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.

• Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn.

• Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink.

• Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions.

• Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3.

• Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN.

• Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively.

• Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

Job Description / Roles & Responsibilities (in Detail)

Responsibilities:

• Design, develop, and implement AI models and algorithms to solve complex business problems.

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

• Conduct research and stay up-to-date with the latest advancements in AI and machine learning.

• Optimize and fine-tune AI models for performance, scalability, and accuracy.

• Develop and maintain AI pipelines and workflows.

• Perform data preprocessing, feature engineering, and model evaluation.

• Deploy AI models into production environments and monitor their performance.

• Provide technical guidance and mentorship to junior team members.

Preferred Qualifications:

• Experience with AI ethics and responsible AI practices.

• Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).

• Familiarity with Agile methodologies and project management tools.

Machine Learning Engineer

Key Skills

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