Senior Machine Learning Engineer

at  WellTech

Welcome to Welltech – a global IT powerhouse specializing in cutting-edge Health & Fitness mobile applications. With an impressive 200M+ installs and a suite of 6 revolutionary apps, we are positively transforming the lives of millions, nurturing healthier lifestyles and overall well-being.
With a solid six-year presence in the international market, Welltech boasts a dynamic team of over 600 passionate professionals across the globe. From intuitive nutrition trackers to innovative fitness solutions, we empower individuals to embark on a transformative journey toward optimal health and happiness.

WHY WELLTECH?

Imagine making a global impact on health and wellness as part of our team! At Welltech, you’ll have the opportunity to shape the future of our products and company, directly influencing the lives of millions. We’re at an exciting juncture with a loyal customer base and many opportunities ahead.

Thrive in Our Dynamic Culture:

• Empowerment: We encourage team members to take ownership and make impactful decisions.
• Clear Communication: We foster a collaborative environment with open and direct communication.

Innovation: Join us in our passion for creating cutting-edge solutions and be part of something big!
We are looking for an experienced Machine Learning Engineer to continuously improve various processes through analytical insights and advanced machine learning models.
Key responsibilities include building and maintaining automated pipelines to enhance and streamline our operations.

REQUIREMENTS (WORK EXPERIENCE, KNOWLEDGE, SKILLS):

• Minimum of 4+ years in ML/ Data Science.
• Experience in developing and deploying machine learning models and algorithms, preferably in reinforcement learning
• Strong knowledge and hands-on experience with SQL, Python, and frameworks such as Numpy, Scikit Learn, Pandas.
• Solid understanding of statistics fundamentals, optimization, and machine learning theory.
• Excellent problem-solving and analytical skills.
• Outstanding communication abilities to effectively collaborate with stakeholders and researchers.
• Practical experience with AWS technologies.

• Analyze large datasets to discover trends, patterns, and insights that influence business decisions.
• Develop and implement robust data models, algorithms, and statistical methods to address complex business challenges.
• Collaborate with cross-functional teams to translate business requirements into actionable data-driven solutions.
• Perform data mining, cleaning, and validation to maintain high data quality and integrity.
• Design visualizations and dashboards to communicate findings to stakeholders effectively.
• Develop and manage predictive models to forecast future business trends.