Overall Responsibilities:
- Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI.
- Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns
- Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R
- Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
- Experience working with large data sets and writing efficient code capable of processing large data streams at speed.
Skills:
- Machine Learning, Deep Learning, Computer Vision, NLP
- Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc.
- Knowledge of programming languages such as Python, R, SQL, etc.
- Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc.
- Excellent problem-solving skills and ability to find creative solutions to complex data science problems.
- Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients
Experience:
- Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role
- Proven track record of successfully delivering AI/ML/Data Science projects
- Experience in mentoring and leading a team of AI/ML/Data Science professionals
Day-to-Day Activities:
- Lead AI/ML/Data Science projects, ensuring successful delivery
- Mentor and guide junior team members
- Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science
- Stay updated with latest AI/ML/Data Science trends and technologies
- Identify and evaluate new business opportunities in AI/ML/Data Science
Qualification:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
Soft Skills:
- Excellent leadership and team management skills
- Strong interpersonal and communication skills
- Ability to work in a fast-paced and dynamic environment
- Good negotiation and stakeholder management skills
- Passionate about AI/ML/Data Science and staying updated with latest trends and technologies.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Candidate Application Notice
