Lead design, development, evaluation, optimization, and deployment of machine learning and NLP models. Manage data preprocessing and feature engineering, integrate models into products, deploy ML models as Django web applications, and share AI/ML knowledge to improve scalability and performance.
Dear Candidate,
We are excited to share an excellent career opportunity with TIS Labs Pvt. Ltd. for the position of AI-ML Engineer.
Position Details:
Role : AI-ML Engineer
Position : Permanent
Location : Mumbai
Experience : 4+ years
Working Days : 5 Days
Notice Period : Immediate or 30 days max.
Mandatory Skillset : AI/ML, Python, Django, NLP
Requirements
➢ Responsibilities:
• Model Development & Implementation: Lead the design, development, and deployment of
machine learning models and algorithms in close collaboration with the AI/ML team.
• Data Pre-processing & Feature Engineering: Oversee the data preparation pipeline,
including pre-processing and feature engineering, ensuring the quality and efficiency of
model inputs.
• Model Evaluation & Optimization: Conduct rigorous experiments, analyze results, and
provide actionable insights to enhance model performance and efficiency.
• Scalability & Advanced Techniques: Apply advanced methodologies to optimize model
performance when working with large-scale datasets.
• AI/ML Model Integration: Spearhead the integration of AI/ML models into the product
ecosystem, seamlessly embedding them within product features.
• AI/ML Deployment with Django: Utilize Django for deploying machine learning models as
web applications, ensuring seamless interaction between models and users.
• Innovation & Knowledge Sharing: Stay current with the latest advancements in AI/ML
technologies, and actively contribute to the team’s knowledge base while fostering a culture
of innovation.
➢ Technical Skills:
• Proficiency in Python and experience with popular machine learning libraries (e.g.,
TensorFlow, PyTorch, scikit-learn).
• Demonstrated expertise in data pre-processing, feature engineering, and model evaluation
techniques.
• Strong familiarity with deep learning frameworks and neural network architectures.
• Experience with Django for deploying machine learning models as web applications.
➢ Requirements:
• Educational Qualifications: BSc-IT, BCA, MCA, Bachelor’s or Master’s degree in
Computer Science or IT, Data Science, or a related field.
• Professional Experience: 3-5 years of hands-on experience in developing and deploying
machine learning solutions.
• Problem-Solving: Exceptional programming and analytical skills, with a proven ability to
solve complex problems.
• Collaboration & Communication: Excellent communication skills, with the ability to work
effectively in a collaborative team environment.
• Attention to Detail & Autonomy: Strong attention to detail and the ability to work
autonomously in a fast-paced environment.
Benefits
About Company : www.tislabs.in
TIS Labs Pvt. Ltd. has been the No. 1 service provider in India for IT Infrastructure including Consulting, Implementation and Support. Incorporated in 2010 started as a small Specialist in Linux & Open Source based Systems Integration & Services. Since 2010 TIS labs has evolved in Virtualization solutions, Mail solutions, Data management , High Performance Computing, IT infrastructure security and IT Consulting. Working with highly qualified engineers supporting globally 24*7. TIS Lab offers capabilities to design, build, migrate, integrate and manage state-of-the-art Linux & Open-Source solutions at the server side infrastructure that is tailor-made to suit the business needs. TIS Lab solutions ensure security, flexibility and scalability in the environment apart from significantly reducing CAPEX and OPEX.
Why Join Us?
- Innovative Environment: Work with cutting-edge technology and a forward-thinking team.
- Career Growth: Opportunities for professional development and career advancement.
- Competitive Benefits: Comprehensive benefits package, including health insurance, retirement plans, and paid time off.
- Dynamic Culture: A collaborative and inclusive work culture that values diversity and innovation.
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