Job Description

About us:

At Relinns Technologies, we are at the forefront of the digital transformation era, crafting innovative solutions in Generative AI-powered chatbots, software, and eCommerce platforms. From the early days of cassette tapes to the latest in nanotechnology, our trajectory mirrors the breathtaking pace of technological advancement.

With over 8 years of industry presence, we've partnered with top-tier clients like Apollo Tyres, Khatabook, and Manchester City Football Club, consistently pushing the boundaries of what's possible. Our cutting-edge projects like Store My Goods and Ockypocky showcase our expertise and commitment to redefining interactions with technology. At Relinns, we're building tech products and shaping the global tech landscape with our vision.

About the Company Culture:

Relinns is dedicated to fostering a collaborative and innovative work environment, where creativity meets efficiency. We uphold core values such as Responsibility & Ownership, Integrity, Collaboration, Taking Initiatives, and Excellence. We support a healthy work-life balance with flexible working hours and engage our team with weekly fun activities aimed at team building. At Relinns, we prioritize a culture of learning and growth, focusing on continuous development across all areas. Our supportive environment fosters both personal and professional advancement, empowering our team members to excel in their roles.

About the role:

We are seeking a skilled AI/ML Engineer to join our team in Mohali. This role is ideal for individuals passionate about artificial intelligence and machine learning, who are eager to apply their skills to real-world challenges. As an AI/ML Engineer, you will develop and implement machine learning models, collaborate with cross-functional teams, and contribute to innovative projects that leverage AI to solve complex problems.

What You Need for this Position:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience (1-3 years) in machine learning, data science, or AI roles.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of algorithms, data structures, and software design principles.
• Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark).
• Excellent problem-solving skills and analytical thinking.
• Strong communication and collaboration skills.
• Ability to work methodically and meet deadlines.

What You Will Be Doing:

• Develop and implement machine learning models and algorithms for various applications.
• Collaborate with cross-functional teams to understand project requirements and deliver AI solutions.
• Preprocess and analyze large datasets to extract meaningful insights.
• Design and conduct experiments to evaluate model performance and fine-tune algorithms.
• Deploy machine learning models to production and ensure scalability and reliability.
• Stay updated with the latest advancements in AI and machine learning technologies.
• Document model development processes and maintain comprehensive project documentation.
• Participate in code reviews and provide constructive feedback to team members.
• Contribute to the continuous improvement of our AI/ML capabilities and best practices.

Top Reasons to Work with Us:

• Join a fast-paced team of like-minded individuals who share the same passion as you with whom you'll tackle new challenges every day.
• Work alongside an exceptionally talented and intellectual team, gaining exposure to new concepts and technologies.
• Enjoy a friendly and high-growth work environment that fosters learning and development.
• Competitive compensation package based on experience and skill.

Job Type: Full-time

Pay: ?400,000.00 - ?600,000.00 per year

Benefits:

• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Supplemental pay types:

• Performance bonus

Experience:

• total work: 1 year (Required)

Work Location: In person