AI / ML Engineering Tech Lead ( Onsite )

Are you passionate about unlocking the power of data and creating innovative solutions that drive real-world impact? A multinational Tech consultant firm is seeking AI / ML Engineering Tech Lead and be at the forefront of cutting-edge technology! .we are looking for talented individuals who thrive in a collaborative environment, enjoy tackling complex challenges, and have a flair for transforming data into actionable insights.

Why You'll Love This Role:

At our organization, you’ll work on meaningful projects that push boundaries, engage directly with clients to solve their toughest problems, and grow alongside a team of driven professionals. If you’re excited about combining technical expertise with creativity to shape the future of machine learning, we want to hear from you!

Key Responsibilities

Client Engagement and Requirement Gathering:

• Engage with clients to understand their pain points, goals, and data challenges.
• Elicit and document requirements to ensure alignment with business objectives.
• Communicate proposed solutions clearly and effectively to both clients and internal teams.

Data Analysis and Pre-Processing:

• Collect, clean, and prepare large datasets for machine learning applications.
• Explore data to uncover patterns, anomalies, and insights.
• Perform feature engineering and data normalization to enhance model performance.

Algorithm Development:

• Design and implement state-of-the-art machine learning algorithms tailored to project needs.
• Experiment with various models and techniques to find optimal solutions.
• Optimize algorithms for scalability, accuracy, and computational efficiency.

Model Training and Evaluation:

• Train machine learning models using robust datasets and advanced tools.
• Validate models through rigorous testing and iterative improvement.
• Evaluate performance using industry-standard metrics, ensuring high predictive accuracy.

Data Visualization:

• Create compelling and informative visualizations to present data insights effectively.
• Leverage libraries like Matplotlib, Seaborn, or software such as Tableau and Power BI to tell a story through data.

What You Bring:

• A passion for problem-solving and a customer-focused mindset.
• Expertise in data wrangling, analysis, and machine learning techniques.
• Strong communication skills to engage stakeholders and convey complex ideas clearly.
• Hands-on experience with data visualization tools and libraries.
• A drive to stay updated on the latest trends in AI and machine learning.

Requirements

• Technical Expertise: Deep knowledge of AI/ML algorithms and hands-on experience with frameworks like TensorFlow and PyTorch.
• Data Skills: Strong proficiency in data collection, cleaning, analysis, and pre-processing.
• Model Development: Proven track record in building, training, and fine-tuning machine learning models.

Preferred Requirements :

• Industry Experience: Understanding of applying and deploying machine learning solutions in real-world scenarios.
• Continuous Learner: Passion for staying updated with the latest trends and advancements in AI/ML.
• Leadership: Experience managing or leading AI/ML projects to successful completion.
• Distinctive thinking, deep expertise, and collaborative working.

Benefits

• Work on exciting projects with global clients.

• Competitive salary and benefits package.

• Opportunities for career growth and development.

• Hybrid work environment.

• Access to ongoing learning and development programs.

• Health and wellness programs to support work-life balance.