Data Scientist Professional (Artificial Intelligence and Machine Learning)

Overall Responsibilities:

• Lead and oversee AI/ML projects with a focus on Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing (NLP).
• Mentor and guide junior AI/ML/Data Science team members, fostering their professional development.
• Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science.
• Stay updated with the latest trends and technologies in AI/ML/Data Science to ensure competitive advantage.
• Identify and evaluate new business opportunities within the AI/ML/Data Science domain.

Software Requirements:

• Proficiency in programming languages such as Python, Java, C++, and R.
• Familiarity with data processing frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).

Category-wise Technical Skills:

Machine Learning & Deep Learning:

• Expertise in machine learning algorithms and frameworks.
• Experience with deep learning architectures (e.g., CNNs, RNNs).

Computer Vision:

• Knowledge in image processing techniques and tools.
• Experience with object detection and image segmentation methods.

Natural Language Processing:

• Proficiency in NLP techniques such as sentiment analysis, text classification, and language modeling.

Statistical & Mathematical Knowledge:

• Advanced knowledge of statistical models and fundamental mathematical concepts including linear algebra and probability.

Data Management:

• Experience working with large datasets and developing efficient code for data processing.

Experience:

• Minimum 8-12 years of experience in AI/ML/Data Science, with at least [insert number] 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 they are delivered on time and meet quality standards.
• Mentor and guide junior team members, providing support and feedback on their work.
• Collaborate with cross-functional teams to share insights and best practices in AI/ML/Data Science.
• Continuously monitor and research emerging trends in AI/ML/Data Science, integrating new knowledge into project workflows.
• Identify and evaluate new business opportunities in AI/ML/Data Science to drive innovation.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

Soft Skills:

• Excellent leadership and team management skills.
• Strong interpersonal and communication skills, capable of engaging stakeholders at all levels.
• Ability to thrive in a fast-paced and dynamic environment.
• Good negotiation and stakeholder management skills.
• Passionate about AI/ML/Data Science and committed to continuous learning and development.

S​YNECHRON’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