Computer Programmer AI and ML

Overview:

Technologies are evolving at a rapid pace, with innovation being driven by advancements in technology itself. Today, information technology is at a crossroads, poised to reach unprecedented levels, as evidenced by substantial investments from large companies amounting to billions of dollars. R2 Technologies is aligning with this change by forming a team dedicated to training professionals from basic to advanced levels.

Do you have a passion for integrating AI and deep learning into the next generation of software development? Do you want to be part of our journey? R2 Technologies is currently seeking motivated, career-oriented, and client-focused Software Engineers specializing in AI and data science. The ideal candidates will have a strong ability to identify and communicate patterns in data and model behavior. In this role, you may collaborate with multiple teams and technologies (machine learning, quality assurance, cloud infrastructure support, user studies) to improve algorithm quality and guide feature development with a data-driven approach, delivering outstanding computer experiences.

Led by Dr. Raju Manthena, CEO of R2 Technologies, we are building a team to provide customers with the most innovative technology services as efficiently as possible. Our core technology prototypes will feature customizable algorithms designed to meet the needs of various industries, including medical, clinical, pharmaceutical, financial, and insurance sectors.

Required Knowledge, Skills and Abilities

• Ability to lean and write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and learn and adapt in processing and analyzing healthcare data.
• learn and practice developing, evaluating, and implementing machine learning models.
• learn and practice in working with clients across disciplines to develop approaches for use in their business core.
• learn and practice in working in cloud environments .
• Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics.
• Knowledge of software development, machine learning, and technology infrastructure
• Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.

Responsibilities include but are not limited to:

• Research and evaluate emerging AI, data science, and related technologies, such as Generative AI, technical tools and approaches for responsible and trustworthy AI, Quantum, Image Compression and Recall, and Self Supervised Learning.
• Stay current on published state-of-the-art data science, AI, and analytics methods and applications and seek out opportunities to apply them against client use cases.
• Develop statistical and advanced analytics models using advanced analytic techniques such as Natural Language Processing, Graph Analytics, Computer Vision, modeling and simulation, Operations Research, anomaly detection, data visualization and metrics creation.
• Direct and actively contribute to proof-of-concept studies and research prototypes, including creating prototypes to implement data models.
• Perform knowledge elicitation from client business problems and understanding and convert that to derived algorithms, and lead and guide teams in this knowledge elicitation process.
• Apply design thinking or other solution-based methods to solve problems consisting of various qualitative activities that support the generation of insightful, human-centered and impactful design solutions.
• Identify AI challenges in non-AI projects to enhance the capabilities of data scientists by automating repetitive tasks, uncovering patterns, and providing advanced analytics and predictive modeling techniques.
• Translate technical requirements to agile tasks to prioritize models and data according to the goals and requirements of the client.
• Perform solution development through white boarding sessions - Algorithmic problems, data manipulation tasks, or other technical challenges related to data science.
• Communicate findings to diverse technical and non-technical stakeholders, and engage clients to distill complex technical language. Communicate these findings in language and forms appropriate for the full spectrum of technical background and focus, from end users through executive decision makers.
• Lead and mentor entry-level, mid-level, and senior level practitioners of AI and data science.
• Shape Internal Research & Development (IRAD) directions in AI, data science, and related scientific areas. Ensure that these directions are aligned with the practice strategy and client needs.
• Represent ManTech's data and AI practice in the broader community. Example activities include conference participation, formal or information publications, and speaking at client events.

Qualifications:

• Bachelor's degree in computer science, Engineering, or related field. Good to have Master and or Ph.D.

What we offer : The best in the industry -

1. Medical insurance
2. Dental
3. Vision
4. Life Insurance
5. 401K with employer contribution
6. Paid vacation
7. Immigration sponsorship for those who requires it - (H1 B and Green cord)
8. Career guidance
9. Employee referral bonus
10. Project based - performance allowances.

Skills:

SQL, Spark, and Python,AI,ML