Dear Candidate,
<\/p>
We are excited to share an excellent career opportunity with TIS Labs Pvt. Ltd.<\/b> for the position of AI\-ML Engineer.<\/b>
<\/p>
Position Details:<\/b>
<\/p>Role :<\/b> AI\-ML Engineer
<\/p><\/li>Position : <\/b>Permanent
<\/p><\/li>Location :<\/b> Mumbai
<\/p><\/li>Experience :<\/b> 4+ years
<\/p><\/li>Working Days :<\/b> 5 Days
<\/p><\/li>Notice Period :<\/b> Immediate or 30 days max.
<\/p><\/li>Mandatory Skillset :<\/b> AI/ML, Python, Django, NLP
<\/p><\/li><\/ul><\/div><\/span>
Requirements<\/h3>➢ Responsibilities:
<\/div>
\u2022 Model Development & Implementation: Lead the design, development, and deployment of
<\/div>
machine learning models and algorithms in close collaboration with the AI/ML team.
<\/div>
\u2022 Data Pre\-processing & Feature Engineering: Oversee the data preparation pipeline,
<\/div>
including pre\-processing and feature engineering, ensuring the quality and efficiency of
<\/div>
model inputs.
<\/div>
\u2022 Model Evaluation & Optimization: Conduct rigorous experiments, analyze results, and
<\/div>
provide actionable insights to enhance model performance and efficiency.
<\/div>
\u2022 Scalability & Advanced Techniques: Apply advanced methodologies to optimize model
<\/div>
performance when working with large\-scale datasets.
<\/div>
\u2022 AI/ML Model Integration: Spearhead the integration of AI/ML models into the product
<\/div>
ecosystem, seamlessly embedding them within product features.
<\/div>
\u2022 AI/ML Deployment with Django: Utilize Django for deploying machine learning models as
<\/div>
web applications, ensuring seamless interaction between models and users.
<\/div>
\u2022 Innovation & Knowledge Sharing: Stay current with the latest advancements in AI/ML
<\/div>
technologies, and actively contribute to the team\u2019s knowledge base while fostering a culture
<\/div>
of innovation.
<\/div>
<\/div>
➢ Technical Skills:
<\/div>
\u2022 Proficiency in Python and experience with popular machine learning libraries (e.g.,
<\/div>
TensorFlow, PyTorch, scikit\-learn).
<\/div>
\u2022 Demonstrated expertise in data pre\-processing, feature engineering, and model evaluation
<\/div>
techniques.
<\/div>
\u2022 Strong familiarity with deep learning frameworks and neural network architectures.
<\/div>
\u2022 Experience with Django for deploying machine learning models as web applications.
<\/div>
<\/div>
➢ Requirements:
<\/div>
\u2022 Educational Qualifications: BSc\-IT, BCA, MCA, Bachelor\u2019s or Master\u2019s degree in
<\/div>
Computer Science or IT, Data Science, or a related field.
<\/div>
\u2022 Professional Experience: 3\-5 years of hands\-on experience in developing and deploying
<\/div>
machine learning solutions.
<\/div>
\u2022 Problem\-Solving: Exceptional programming and analytical skills, with a proven ability to
<\/div>
solve complex problems.
<\/div>
\u2022 Collaboration & Communication: Excellent communication skills, with the ability to work
<\/div>
effectively in a collaborative team environment.
<\/div>
\u2022 Attention to Detail & Autonomy: Strong attention to detail and the ability to work
<\/div>
autonomously in a fast\-paced environment.
<\/div><\/span>
Benefits<\/h3>About Company : www.tislabs.in<\/a><\/span>
<\/p>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.
<\/p>
Why Join Us?<\/span>
<\/p>- Innovative Environment: Work with cutting\-edge technology and a forward\-thinking team.
<\/li> - Career Growth: Opportunities for professional development and career advancement.
<\/li> - Competitive Benefits: Comprehensive benefits package, including health insurance, retirement plans, and paid time off.
<\/li> - Dynamic Culture: A collaborative and inclusive work culture that values diversity and innovation.
<\/li><\/ul><\/div><\/div><\/div><\/div>
<\/div><\/span>
