4 AI Engineers Available For July

4 AI Engineers Available For July

4 AI Engineers Available For July

Skilled and
Work-Ready AI Engineers

Skilled and
Work-Ready AI Engineers

Vetted and Read-To-Deploy
AI Engineers

Discover how TeamEpic bridges the gap between academia and the real-world, providing businesses with work-ready AI engineers.

Discover how TeamEpic bridges the gap between academia and the real-world, providing businesses with work-ready AI engineers.

What We Look For In Our Engineers

What We Look For In Our Engineers

At TeamEpic, we nurture the future drivers of technological advancement, valuing innovation, collaboration, and potential.

Foundation in Data Science and AI Technologies

We prioritize candidates with a fundamental understanding of data science and AI, ready to be shaped into the tech leaders of tomorrow.

Innovative Problem Solvers

Our ideal candidates are those who approach complex problems with creativity, innovation and effective solutions, turning challenges into opportunities.

Embracing Change with Enthusiasm

We value adaptability and eagerness to learn, essential traits for embracing new technologies and methodologies in our dynamic industry.

Collaborating for Collective Success

We value individuals who can work in a collaborative manner and contribute positively to the team's goals and fostering a spirit of unity.

Our 17 Week Applicants Onboarding Program

Our 17 Week Applicants Onboarding Program

Our 17 Week Applicants Onboarding Program

Initial Candidate Assessment

Comprehensive evaluation of technical skills and problem-solving abilities.

Interview with Data Science and AI Mentors

In-depth discussions to gauge knowledge depth and learning potential.

Practical Skills Evaluation

Hands-on projects to test real-world application of skills.

Real-World Problem Solving

Simulated scenarios to assess creative problem-solving and critical thinking.

Panel Interview

Cross-functional team evaluates fit, communication, and collaboration skills.

Onboarding

Seamless integration into TeamEpic's processes and work culture.

10+

Projects

20+

Case studies

17 Weeks

Duration

40+ Hours

Per week

The AI Academy

Developing work-ready AI workforce through practical, industry-aligned training pathways.

Real-World Experience

Comprehensive Skill Development

Hands-on Mentorship and Support

The AI Academy

Developing work-ready AI workforce through practical, industry-aligned training pathways.

Real-World Experience

Comprehensive Skill Development

Hands-on Mentorship and Support

The AI Academy

Developing work-ready AI workforce through practical, industry-aligned training pathways.

Real-World Experience

Comprehensive Skill Development

Hands-on Mentorship and Support

3-Month Data Science & AI Training Program

Training Large Language Models

  • Techniques for in-context learning and prompt engineering.

  • Strategies for cost-efficient model training and alignment with human values.

  • Practical applications of LLMs across different industries.

Deep Learning Fundamentals

  • Comprehensive training on neural networks, including multi-layer perceptrons and backpropagation.

  • Hyperparameter tuning, optimization techniques, and methods to prevent overfitting like dropout and batch normalization.

  • Detailed exploration of Convolutional Neural Networks (CNNs) for advanced image processing.

Generative AI and Its Applications

  • Introduction to generative image models and their capabilities in visual content creation.

  • Exploration of diverse use cases of generative AI, demonstrating its impact and versatility.

  • Emphasis on ethical considerations in the development and deployment of generative models.

Advanced Machine Learning Techniques

  • Hands-on training with reinforcement learning, including practical case exercises like Markov Chains.

  • Mastery of ensemble methods and hands-on experience with models such as SVM and random forests.

  • Techniques for advanced feature engineering, feature selection, and specialized training on recommender systems.

Responsible AI Practices

  • Training on ethical AI development to ensure fairness, accountability, and transparency.

  • Strategies for handling data imbalance and implementing regularization techniques to build robust models.

20+

Projects

25+

Case studies

3 Months

Duration

40 Hours

Per week

3-Month Data Science & AI Training Program

Training Large Language Models

  • Techniques for in-context learning and prompt engineering.

  • Strategies for cost-efficient model training and alignment with human values.

  • Practical applications of LLMs across different industries.

Deep Learning Fundamentals

  • Comprehensive training on neural networks, including multi-layer perceptrons and backpropagation.

  • Hyperparameter tuning, optimization techniques, and methods to prevent overfitting like dropout and batch normalization.

  • Detailed exploration of Convolutional Neural Networks (CNNs) for advanced image processing.

Generative AI and Its Applications

  • Introduction to generative image models and their capabilities in visual content creation.

  • Exploration of diverse use cases of generative AI, demonstrating its impact and versatility.

  • Emphasis on ethical considerations in the development and deployment of generative models.

Advanced Machine Learning Techniques

  • Hands-on training with reinforcement learning, including practical case exercises like Markov Chains.

  • Mastery of ensemble methods and hands-on experience with models such as SVM and random forests.

  • Techniques for advanced feature engineering, feature selection, and specialized training on recommender systems.

Responsible AI Practices

  • Training on ethical AI development to ensure fairness, accountability, and transparency.

  • Strategies for handling data imbalance and implementing regularization techniques to build robust models.

20+

Projects

25+

Case studies

3 Months

Duration

40 Hours

Per week

3-Month Data Science & AI Training Program

Training Large Language Models

  • Techniques for in-context learning and prompt engineering.

  • Strategies for cost-efficient model training and alignment with human values.

  • Practical applications of LLMs across different industries.

Deep Learning Fundamentals

  • Comprehensive training on neural networks, including multi-layer perceptrons and backpropagation.

  • Hyperparameter tuning, optimization techniques, and methods to prevent overfitting like dropout and batch normalization.

  • Detailed exploration of Convolutional Neural Networks (CNNs) for advanced image processing.

Generative AI and Its Applications

  • Introduction to generative image models and their capabilities in visual content creation.

  • Exploration of diverse use cases of generative AI, demonstrating its impact and versatility.

  • Emphasis on ethical considerations in the development and deployment of generative models.

Advanced Machine Learning Techniques

  • Hands-on training with reinforcement learning, including practical case exercises like Markov Chains.

  • Mastery of ensemble methods and hands-on experience with models such as SVM and random forests.

  • Techniques for advanced feature engineering, feature selection, and specialized training on recommender systems.

Responsible AI Practices

  • Training on ethical AI development to ensure fairness, accountability, and transparency.

  • Strategies for handling data imbalance and implementing regularization techniques to build robust models.

20+

Projects

25+

Case studies

3 Months

Duration

40 Hours

Per week

Meet Our Engineers

HIPAA Certified
Google Cloud Certified

Aditya Kishtawal

Analytical computer science student specializing in data science and research. Strong leadership, coding, and communication skills. Collaborative team player.

Aditya Kishtawal

Analytical computer science student specializing in data science and research. Strong leadership, coding, and communication skills. Collaborative team player.

HIPAA Certified
Google Cloud Certified
HIPAA Certified
Google Cloud Certified

Aditya Kishtawal

Analytical computer science student specializing in data science and research. Strong leadership, coding, and communication skills. Collaborative team player.

HIPAA Certified
Google Cloud Certified

Devesh Sharma

M.Tech in Machine Learning from DA-IICT. Skilled Data Science and AI Engineer at TeamEpic. Expertise in developing cutting-edge ML solutions.

Devesh Sharma

M.Tech in Machine Learning from DA-IICT. Skilled Data Science and AI Engineer at TeamEpic. Expertise in developing cutting-edge ML solutions.

HIPAA Certified
Google Cloud Certified
HIPAA Certified
Google Cloud Certified

Devesh Sharma

M.Tech in Machine Learning from DA-IICT. Skilled Data Science and AI Engineer at TeamEpic. Expertise in developing cutting-edge ML solutions.

HIPAA Certified
Google Cloud Certified

Harshit Soni

Data science enthusiast with PGDM in Digital Business and Analytics. Proficient in Python, ML, DL, NLP, Computer Vision, and SQL. Passionate about leveraging data for impactful insights.

Harshit Soni

Data science enthusiast with PGDM in Digital Business and Analytics. Proficient in Python, ML, DL, NLP, Computer Vision, and SQL. Passionate about leveraging data for impactful insights.

HIPAA Certified
Google Cloud Certified
HIPAA Certified
Google Cloud Certified

Harshit Soni

Data science enthusiast with PGDM in Digital Business and Analytics. Proficient in Python, ML, DL, NLP, Computer Vision, and SQL. Passionate about leveraging data for impactful insights.

HIPAA Certified
Google Cloud Certified
Top Artificial Intelligence (AI) Voice

Pramod Koujalagi

Computer Science graduate skilled in Generative AI, Machine Learning, Prompt Engineering, Data Science, Python, and cloud technologies. Mission: pushing boundaries through innovative AI solutions at TeamEpic.

Pramod Koujalagi

Computer Science graduate skilled in Generative AI, Machine Learning, Prompt Engineering, Data Science, Python, and cloud technologies. Mission: pushing boundaries through innovative AI solutions at TeamEpic.

HIPAA Certified
Top Artificial Intelligence (AI) Voice
Google Cloud Certified
HIPAA Certified
Google Cloud Certified
Top Artificial Intelligence (AI) Voice

Pramod Koujalagi

Computer Science graduate skilled in Generative AI, Machine Learning, Prompt Engineering, Data Science, Python, and cloud technologies. Mission: pushing boundaries through innovative AI solutions at TeamEpic.

HIPAA Certified

Srijan Tripathi

Computer Science graduate skilled in Generative AI, Machine Learning, Prompt Engineering, Data Science, Python, and cloud technologies. Mission: pushing boundaries through innovative AI solutions at TeamEpic.

Srijan Tripathi

Computer Science graduate skilled in Generative AI, Machine Learning, Prompt Engineering, Data Science, Python, and cloud technologies. Mission: pushing boundaries through innovative AI solutions at TeamEpic.

HIPAA Certified
HIPAA Certified

Srijan Tripathi

Computer Science graduate skilled in Generative AI, Machine Learning, Prompt Engineering, Data Science, Python, and cloud technologies. Mission: pushing boundaries through innovative AI solutions at TeamEpic.