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Sr. AI/ML Developers
Sr. AI/ML Developers
Inncircles 's logo

Sr. AI/ML Developers

Gangadhar M's profile picture
Posted by Gangadhar M
4 - 8 yrs
Best in industry
Hyderabad
Skills
NumPy
skill iconPython
pandas
skill iconMachine Learning (ML)
skill iconDeep Learning
Natural Language Processing (NLP)
AWS Bedrock
PyTorch
TensorFlow
ChromaDB
FAISS

Job Title: Senior AI/ML/DL Engineer

Location: Hyderabad

Department: Artificial Intelligence/Machine Learning


Job Summary:

We are seeking a highly skilled and motivated Senior AI/ML/DL Engineer to contribute to

the development and implementation of advanced artificial intelligence, machine learning,

and deep learning solutions. The ideal candidate will have a strong technical background in

AI/ML/DL, hands-on experience in building scalable models, and a passion for solving

complex problems using data-driven approaches. This role involves working closely with

cross-functional teams to deliver innovative AI/ML solutions aligned with business objectives.

Key Responsibilities:


Technical Execution:

● Design, develop, and deploy AI/ML/DL models and algorithms to solve business

challenges.

● Stay up-to-date with the latest advancements in AI/ML/DL technologies and integrate

them into solutions.

● Implement best practices for model development, validation, and deployment.


Project Development:

● Collaborate with stakeholders to identify business opportunities and translate them

into AI/ML projects.

● Work on the end-to-end lifecycle of AI/ML projects, including data collection,

preprocessing, model training, evaluation, and deployment.

● Ensure the scalability, reliability, and performance of AI/ML solutions in production

environments.


Cross-Functional Collaboration:

● Work closely with product managers, software engineers, and domain experts to

integrate AI/ML capabilities into products and services.

● Communicate complex technical concepts to non-technical stakeholders effectively.


Research and Innovation:

Explore new AI/ML techniques and methodologies to enhance solution capabilities.


● Prototype and experiment with novel approaches to solve challenging problems.

●Contribute to internal knowledge-sharing initiatives and documentation.


Quality Assurance & MLOps:

● Ensure the accuracy, robustness, and ethical use of AI/ML models.

● Implement monitoring and maintenance processes for deployed models to ensure long-term performance.

● Follow MLOps practices for efficient deployment and monitoring of AI/ML solutions.


Qualifications:


Education:

● Bachelors/Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.


Experience:

● 5+ years of experience in AI/ML/DL, with a proven track record of delivering AI/ML solutions in production environments.

● Strong experience with programming languages such as Python, R, or Java.

● Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn,Keras).

● Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies

(e.g., Hadoop, Spark).

● Familiarity with MLOps practices and tools for model deployment and monitoring.


Skills:

● Strong understanding of machine learning algorithms, deep learning architectures,

and statistical modeling.

● Excellent problem-solving and analytical skills.

● Strong communication and interpersonal skills.

● Ability to manage multiple projects and prioritize effectively.


Preferred Qualifications:

● Experience in natural language processing (NLP), computer vision, or reinforcement

learning.

● Knowledge of ethical AI practices and regulatory compliance.

● Publications or contributions to the AI/ML community (e.g., research papers,open-source projects).


What We Offer:

● Competitive salary and benefits package.

● Opportunities for professional development and career growth.

● A collaborative and innovative work environment.

● The chance to work on impactful projects that leverage cutting-edge AI/ML technologies.

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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Inncircles

Founded :
2019
Type :
Product
Size :
100-500
Stage :
Profitable

About

Inncircles Arena – a Modern Construction Management Platform, is a composed one stop solution for construction management that is highly configurable, easily adaptable, data centric while leveraging advanced artificial intelligence and cloud technologies to ramp up construction company's digital transformation initiatives. It empowers construction teams to go beyond the tactical to strategic. Through the platform, residential, industrial and infrastructure construction companies gain real-time insights into their projects, a unified communication and collaboration space, powerful configuration capabilities to integrate with existing or legacy tools and technologies. Detailed products and solution packages allow for planning, scheduling, assigning, tracking, and analyzing construction work packages from pre-planning stage to handover. Solving Construction Business Challenges through Technology • Work Management: Elevate efficiency and transform project management by scheduling works, tracking progress while gaining real-time insights. • Quality Management: Ensure projects meet the required quality standards by performing regular inspections and issue tracking. • Safety Management: Record and monitor safety incidents in real-time, schedule inspections, and store pertinent safety documentation. • Advanced Work Package (AWP): Build package of works, schedule work packages and monitor progress. • Data and Analytics: Gain profound insights of projects through visually stunning dashboards that bring your data to life. • Mobile Application: Offer mobile accessibility to enable field teams to access information, submit updates, and communicate in real-time, improving overall efficiency. • Integrations: Foster connectivity in the construction eco system with Arenas potent integration capabilities. • Pre-Construction Planning: Drive project planning, budgeting, estimating, bidding, and collaboration during the pre-construction phase. • Procurement: Create procurement packages
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