ML Python Developer

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Who are we:

Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.

Responsibilities:

·         Design, develop, and implement machine learning models and algorithms to solve complex business problems.

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

·         Conduct data analysis and preprocessing to ensure data quality and integrity.

·         Optimize and fine-tune machine learning models for performance and scalability.

·         Stay up to date with the latest advancements in machine learning and AI technologies.

·         Mentor and guide junior team members, fostering a culture of continuous learning and improvement.

·         Communicate findings and insights to both technical and non-technical stakeholders.

Requirements

Qualifications:

·         Bachelor's or master’s degree in computer science, Data Science, Machine Learning, or a related field.

·         7+ years of experience in machine learning, data science, and Python programming.

·         Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.

·         Experience with big data technologies such as Hadoop, Spark, and SQL.

·         Excellent problem-solving skills and the ability to work independently and as part of a team.

·         Strong communication skills, with the ability to convey complex technical concepts to non-technical audiences.

·         Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus.

Preferred Skills:

·         Knowledge of natural language processing (NLP) and computer vision techniques.

·         Experience with deep learning frameworks and tools.

·         Familiarity with agile methodologies and DevOps practices.