Designation: Lead/ Associate Specialist/ Specialist
Experience: 7-10 years
Location: Bangalore
Position Overview:
We are seeking a highly skilled Gen AI Developer with 7-10 years of experience in data science, specializing in deep learning and advanced AI frameworks. The ideal candidate will have a robust background in deploying and managing models on AWS Bedrock, specifically with Mistral and Anthropic Claude. Experience with LLAMAIndex, LangChain Framework, and agentic applications is essential. If you're passionate about leveraging cutting-edge AI technologies to solve complex business problems, we would love to have you on our team.
Overall Responsibilities:
Advanced Model Development:
Design, develop, and implement sophisticated deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges.
Cloud-Based AI Deployment:
Utilize AWS Bedrock services, including Mistral and Anthropic Claude, for deploying and managing AI models at scale.
Framework Expertise:
Apply expertise in LLAMAIndex and LangChain Framework to develop and deploy agentic applications that interact with large language models (LLMs).
Data Analysis & Insights:
Conduct advanced data analyses to identify hidden patterns, trends, and insights that facilitate data-driven decision-making.
Machine Learning Operations:
Oversee the full machine learning lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment.
Cross-Functional Collaboration:
Work closely with stakeholders across various departments to identify business needs and translate them into scalable AI solutions.
Mentorship & Leadership:
Mentor junior data scientists and data engineers, promoting a culture of innovation and continuous learning within the team.
Research & Innovation:
Stay at the forefront of AI and deep learning advancements, continuously exploring new methodologies and technologies to enhance model performance and business impact.
Reporting & Visualization:
Create clear, concise, and actionable reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical stakeholders.
Technical Skills (Categorywise):
Mandatory Experience:
Deep Learning:
Machine Learning:
Programming:
Data Engineering:
Cloud Computing:
Data Visualization:
Analytical Skills:
Experience:
Day-to-Day Activities:
Qualifications:
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Preferred Qualifications:
Soft Skills:
Communication:
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Team Collaboration:
Demonstrated ability to effectively collaborate within a team-oriented environment across multiple disciplines.
Leadership:
Experience in leading projects, mentoring team members, and driving innovation in data science initiatives.
Analytical Thinking:
Strong analytical mindset with the ability to approach problems systematically and creatively.
Adaptability:
Ability to learn and adapt to new technologies and methodologies in a fast-paced environment.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.