
Team Lead Machine Learning
2 weeks ago
Plot # 176, Korang Road, near Rahat Bakers, I-10/3, Islamabad, Pakistan | Posted on 01/02/2025
- Country Pakistan
Position Title: Team Lead - Machine Learning
Timings: 4:00pm - 1:00am
Department: Software Engineering
Location: IKONIC, Plot # 176, Korang Road, I-10/3 Islamabad, 44000
IKONIC is a US-based IT company, headquartered in Miami, Florida. It is a group endeavor that mixes experience with agility, honesty, teamwork, trust, and insight into the future. We are a team of top-notch developers who believe in providing solutions to your every problem. Our previous projects and a journey of nine years make us the leading name you can trust for adding value to your business. We believe that we can present a solution to your every problem, complementing innovation with sustainability. It is through our established repository of experiences that we offer a unique solution to every problem. Our services are available across the globe in a time zone-aligned manner.
Position Purpose:We are looking for a Team Lead - Machine Learning who will be responsible for leading a team of engineers to design, implement, and deliver cutting-edge machine learning solutions. You will collaborate with cross-functional teams, including data scientists, software developers, and business analysts, to solve complex problems and drive innovation. Fluent English communication is a must for this role as it requires interaction with US clientele.
Education & Professional Qualification:Degree(s)/Major(s): Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Certification(s): Certification in Machine Learning, Artificial Intelligence, or related technologies is a plus.
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong programming skills in Python and experience with data processing libraries (e.g., NumPy, Pandas).
- Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) for ML deployment.
- Expertise in working with large-scale datasets and optimizing model performance.
- Familiarity with Agile methodologies and leading scrum teams.
- Experience in Natural Language Processing (NLP) and Computer Vision is a plus.
- Excellent communication and problem-solving skills.
- Minimum 5 years of relevant experience in Machine Learning, including at least 2 years in a leadership or team management role.
- Lead and mentor a team of machine learning engineers to deliver high-quality solutions.
- Develop and optimize machine learning models and algorithms for various projects.
- Collaborate with data scientists and software engineers to design and deploy scalable solutions.
- Conduct code reviews and provide constructive feedback to team members.
- Stay updated with the latest trends and advancements in machine learning and artificial intelligence.
- Design and implement workflows for data preprocessing, feature engineering, and model deployment.
- Partner with stakeholders to define project requirements and ensure alignment with business objectives.
- Create detailed documentation for models, processes, and workflows.
- Evaluate the performance of machine learning systems and troubleshoot any issues.
- Manage project timelines, resource allocation, and deliverables.
- Medical Health Insurance
- Accommodation for outstation employees
- Casual Leaves
- Paternity Leaves
- Maternity Leaves
- Annual Reviews
At IKONIC, we believe in providing development opportunities to all our employees, which is why our job comes with a variety of challenging assessments meant to catapult your career to the next level. This is made evident with our offerings such as:
- A growth mindset through the help of experienced and helpful Mentors. IKONIC is made up of passionate individuals who aim to support each other in their training as well as day-to-day tasks.
- A Dynamic Environment where we focus on encouraging initiatives, promoting agility, and creating a work/life balance. We know the value you bring in, and we aim to nurture it.
- Market Competitive Compensation based on your professional qualifications and skill set.
As an Equal Employment Opportunity Provider, all employment-associated decisions are based on an individual's merit.
Note: Above goals and job descriptions are indicative and subject to change.
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